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Title: Real-Time Detection Method And System For Identifying Individual Aerosol Particles

Abstract

A method and system of identifying individual aerosol particles in real time. Sample aerosol particles are compared against and identified with substantially matching known particle types by producing positive and negative test spectra of an individual aerosol particle using a bipolar single particle mass spectrometer. Each test spectrum is compared to spectra of the same respective polarity in a database of predetermined positive and negative spectra for known particle types and a set of substantially matching spectra is obtained. Finally the identity of the individual aerosol particle is determined from the set of substantially matching spectra by determining a best matching one of the known particle types having both a substantially matching positive spectrum and a substantially matching negative spectrum associated with the best matching known particle type.

Inventors:
 [1];  [2]
  1. San Francisco, CA
  2. Livermore, CA
Issue Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
OSTI Identifier:
879854
Patent Number(s):
6959248
Application Number:
10/280608
Assignee:
The Regents of the University of California (Oakland, CA)
DOE Contract Number:  
W-7405-ENG-48
Resource Type:
Patent
Country of Publication:
United States
Language:
English

Citation Formats

Gard, Eric Evan, and Fergenson, David Philip. Real-Time Detection Method And System For Identifying Individual Aerosol Particles. United States: N. p., 2005. Web.
Gard, Eric Evan, & Fergenson, David Philip. Real-Time Detection Method And System For Identifying Individual Aerosol Particles. United States.
Gard, Eric Evan, and Fergenson, David Philip. Tue . "Real-Time Detection Method And System For Identifying Individual Aerosol Particles". United States. https://www.osti.gov/servlets/purl/879854.
@article{osti_879854,
title = {Real-Time Detection Method And System For Identifying Individual Aerosol Particles},
author = {Gard, Eric Evan and Fergenson, David Philip},
abstractNote = {A method and system of identifying individual aerosol particles in real time. Sample aerosol particles are compared against and identified with substantially matching known particle types by producing positive and negative test spectra of an individual aerosol particle using a bipolar single particle mass spectrometer. Each test spectrum is compared to spectra of the same respective polarity in a database of predetermined positive and negative spectra for known particle types and a set of substantially matching spectra is obtained. Finally the identity of the individual aerosol particle is determined from the set of substantially matching spectra by determining a best matching one of the known particle types having both a substantially matching positive spectrum and a substantially matching negative spectrum associated with the best matching known particle type.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2005},
month = {10}
}

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Works referenced in this record:

Real-Time Analysis of Individual Atmospheric Aerosol Particles:  Design and Performance of a Portable ATOFMS
journal, October 1997

  • Gard, Eric; Mayer, Joseph E.; Morrical, Brad D.
  • Analytical Chemistry, Vol. 69, Issue 20
  • DOI: 10.1021/ac970540n

Mass Spectrometry of Aerosols
journal, October 1999

  • Suess, David T.; Prather, Kimberly A.
  • Chemical Reviews, Vol. 99, Issue 10
  • DOI: 10.1021/cr980138o

Classification of Single Particles Analyzed by ATOFMS Using an Artificial Neural Network, ART-2A
journal, February 1999

  • Song, Xin-Hua; Hopke, Philip K.; Fergenson, David P.
  • Analytical Chemistry, Vol. 71, Issue 4
  • DOI: 10.1021/ac9809682

Online Analysis of Atmospheric Particles with a Transportable Laser Mass Spectrometer
journal, July 2000

  • Trimborn, A.; Hinz, K. -P.; Spengler, B.
  • Aerosol Science and Technology, Vol. 33, Issue 1-2
  • DOI: 10.1080/027868200410921

Chemically-assigned classification of aerosol mass spectra
journal, July 2002

  • Tan, Phillip V.; Malpica, Oscar; Evans, Greg J.
  • Journal of the American Society for Mass Spectrometry, Vol. 13, Issue 7
  • DOI: 10.1016/S1044-0305(02)00379-3